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» Appearance-based mapping using minimalistic sensor models
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ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
14 years 1 months ago
Probabilistic Appearance Based Navigation and Loop Closing
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
Mark Cummins, Paul M. Newman
ALGOSENSORS
2008
Springer
13 years 9 months ago
Target Counting under Minimal Sensing: Complexity and Approximations
We consider the problem of counting a set of discrete point targets using a network of sensors under a minimalistic model. Each sensor outputs a single integer, the number of disti...
Sorabh Gandhi, Rajesh Kumar 0003, Subhash Suri
SENSYS
2003
ACM
14 years 21 days ago
Tracking a moving object with a binary sensor network
In this paper we examine the role of very simple and noisy sensors for the tracking problem. We propose a binary sensor model, where each sensor’s value is converted reliably to...
Javed A. Aslam, Zack J. Butler, Florin Constantin,...
AAAI
2012
11 years 9 months ago
Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
Jörg Stückler, Sven Behnke
IPSN
2003
Springer
14 years 19 days ago
Coverage, Exploration, and Deployment by a Mobile Robot and Communication Network
We consider the problem of coverage and exploration of an unknown dynamic environment using a mobile robot(s). The environment is assumed to be large enough such that constant moti...
Maxim A. Batalin, Gaurav S. Sukhatme